{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -qU \\\n",
    "    datasets==2.17.1 \\\n",
    "    \"semantic-router[processing]==0.0.24\" \\\n",
    "    tiktoken==0.6.0 \\\n",
    "    langchain-core==0.1.26 \\\n",
    "    langchain==0.1.9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"\"\"\n",
    "# Guides\n",
    "## Data\n",
    "### Manage RAG documents\n",
    "\n",
    "In Retrieval Augmented Generation (RAG) use cases, it is best practice to chunk\n",
    "large documents into smaller segments, embed each chunk separately, and then\n",
    "store each embedded chunk as a distinct record in Pinecone. This page shows you\n",
    "how to model, store, and manage such records in serverless indexes.\n",
    "\n",
    "#### Use ID prefixes to reference parent documents\n",
    "\n",
    "When you have multiple records representing chunks of a single document, use a\n",
    "common ID prefix to reference the document.\n",
    "\n",
    "##### ℹ️ Note\n",
    "\n",
    "You can use any prefix pattern you like, but make sure you use a consistent\n",
    "prefix pattern for all child records of a document. For example, doc1#chunk1,\n",
    "doc1_chunk1, doc1_chunk1, doc1___chunk1, doc1:chunk1, and doc1chunk1 are all\n",
    "valid prefixes for the first chunk of doc1. Prefixes can also be multi-level.\n",
    "For example, doc1#v1#chunk1 and doc1#v2#chunk1 could represent different\n",
    "versions of the first chunk of doc1.\n",
    "\n",
    "\n",
    "```python\n",
    "from pinecone import Pinecone, ServerlessSpec\n",
    "\n",
    "pc = Pinecone(api_key=\"YOUR_API_KEY\")\n",
    "\n",
    "pc.create_index(\n",
    "  name=\"serverless-index\",\n",
    "  dimension=8,\n",
    "  metric=\"cosine\",\n",
    "  spec=ServerlessSpec(\n",
    "    cloud=\"aws\",\n",
    "    region=\"us-west-2\"\n",
    "  )\n",
    ")\n",
    "\n",
    "index = pc.Index(\"serverless-index\")\n",
    "\n",
    "index.upsert(\n",
    "  vectors=[\n",
    "    {\"id\": \"doc1#chunk1\", \"values\": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},\n",
    "    {\"id\": \"doc1#chunk2\", \"values\": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]},\n",
    "    {\"id\": \"doc1#chunk3\", \"values\": [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]},\n",
    "    {\"id\": \"doc1#chunk4\", \"values\": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]}\n",
    "  ],\n",
    "  namespace=\"ns1\"\n",
    ")\n",
    "```\n",
    "\n",
    "#### List all record IDs for a parent document\n",
    "\n",
    "When all records related to a document use a common ID prefix, you can use the\n",
    "`list` operation, with the `namespace` and `prefix` parameters, to fetch the\n",
    "IDs of the records.\n",
    "\n",
    "```curl\n",
    "# The `GET` request below uses the unique endpoint for an index.\n",
    "# See https://docs.pinecone.io/docs/get-index-endpoint for details.\n",
    "PINECONE_API_KEY=\"YOUR_API_KEY\"\n",
    "INDEX_HOST=\"INDEX_HOST\"\n",
    "\n",
    "curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\" \\\n",
    "  -H \"Api-Key: $PINECONE_API_KEY\"\n",
    "\n",
    "# Response:\n",
    "# {\n",
    "#   \"vectors\": [\n",
    "#     { \"id\": \"doc1#chunk1\" },\n",
    "#     { \"id\": \"doc1#chunk2\" },\n",
    "#     { \"id\": \"doc1#chunk3\" },\n",
    "#     { \"id\": \"doc1#chunk4\" },\n",
    "    ...\n",
    "#   ],\n",
    "#   \"pagination\": {\n",
    "#     \"next\": \"c2Vjb25kY2FsbA==\"\n",
    "#   },\n",
    "#   \"namespace\": \"ns1\",\n",
    "#   \"usage\": {\n",
    "#     \"readUnits\": 1\n",
    "#   }\n",
    "# }\n",
    "```\n",
    "\n",
    "When there are additional IDs to return, the response includes a\n",
    "`pagination_token` that you can use to get the next batch of IDs. For more\n",
    "details, see Paginate through list results\n",
    "\n",
    "With the record IDs, you can then use the fetch operation to fetch the content\n",
    "of the records.\n",
    "\n",
    "#### Delete all records for a parent document\n",
    "\n",
    "To delete all records representing chunks of a single document, first list the\n",
    "record IDs based on their common ID prefix:\n",
    "\n",
    "##### ℹ️ Note\n",
    "\n",
    "The `list` operation is supported only for serverless indexes and only via the\n",
    "REST API.\n",
    "\n",
    "```curl\n",
    "# The `GET` request below uses the unique endpoint for an index.\n",
    "# See https://docs.pinecone.io/docs/get-index-endpoint for details.\n",
    "PINECONE_API_KEY=\"YOUR_API_KEY\"\n",
    "INDEX_HOST=\"INDEX_HOST\"\n",
    "\n",
    "curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\" \\\n",
    "  -H \"Api-Key: $PINECONE_API_KEY\"\n",
    "\n",
    "# Response:\n",
    "# {\n",
    "#   \"vectors\": [\n",
    "#     { \"id\": \"doc1#chunk1\" },\n",
    "#     { \"id\": \"doc1#chunk2\" },\n",
    "#     { \"id\": \"doc1#chunk3\" },\n",
    "#     { \"id\": \"doc1#chunk4\" },\n",
    "    ...\n",
    "#   ],\n",
    "#   \"pagination\": {\n",
    "#     \"next\": \"c2Vjb25kY2FsbA==\"\n",
    "#   },\n",
    "#   \"namespace\": \"ns1\",\n",
    "#   \"usage\": {\n",
    "#     \"readUnits\": 1\n",
    "#   }\n",
    "# }\n",
    "```\n",
    "\n",
    "Then delete the records by ID:\n",
    "\n",
    "```curl\n",
    "curl -X POST \"https://$INDEX_HOST/vectors/delete\" \\\n",
    "  -H \"Api-Key: $PINECONE_API_KEY\" \\\n",
    "  -H 'Content-Type: application/json' \\\n",
    "  -d '{\n",
    "    \"ids\": [\n",
    "      \"doc1#chunk1\", \n",
    "      \"doc1#chunk2\", \n",
    "      \"doc1#chunk3\", \n",
    "      \"doc1#chunk4\"\n",
    "    ],\n",
    "    \"namespace\": \"ns1\"\n",
    "  }\n",
    "'\n",
    "```\n",
    "\n",
    "#### Work with multi-level ID prefixes\n",
    "\n",
    "The examples above are based on a simple ID prefix (doc1#), but it's also\n",
    "possible to work with more complex, multi-level prefixes.\n",
    "\n",
    "For example, let's say you use the prefix pattern document#version#chunk to \n",
    "differentiate between different versions of a document. If you wanted to delete\n",
    "all records for one version of a document, you would first list the record IDs\n",
    "based on the relevant document#version# prefix:\n",
    "\n",
    "```curl\n",
    "# The `GET` request below uses the unique endpoint for an index.\n",
    "# See https://docs.pinecone.io/docs/get-index-endpoint for details.\n",
    "PINECONE_API_KEY=\"YOUR_API_KEY\"\n",
    "INDEX_HOST=\"INDEX_HOST\"\n",
    "\n",
    "curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23v1%23\" \\\n",
    "  -H \"Api-Key: $PINECONE_API_KEY\"\n",
    "\n",
    "# Response:\n",
    "# {\n",
    "#   \"vectors\": [\n",
    "#     { \"id\": \"doc1#v1#chunk1\" },\n",
    "#     { \"id\": \"doc1#v1#chunk2\" },\n",
    "#     { \"id\": \"doc1#v1#chunk3\" },\n",
    "#     { \"id\": \"doc1#v1#chunk4\" },\n",
    "    ...\n",
    "#   ],\n",
    "#   \"pagination\": {\n",
    "#     \"next\": \"c2Vjb25kY2FsbA==\"\n",
    "#   },\n",
    "#   \"namespace\": \"ns1\",\n",
    "#   \"usage\": {\n",
    "#     \"readUnits\": 1\n",
    "#   }\n",
    "# }\n",
    "```\n",
    "\n",
    "You'd then delete the records by ID\n",
    "\n",
    "However, if you wanted to delete all records across all versions of a document,\n",
    "you would list the record IDs based on the doc1# part of the prefix that is\n",
    "common to all versions:\n",
    "\n",
    "```curl\n",
    "# The `GET` request below uses the unique endpoint for an index.\n",
    "# See https://docs.pinecone.io/docs/get-index-endpoint for details.\n",
    "PINECONE_API_KEY=\"YOUR_API_KEY\"\n",
    "INDEX_HOST=\"INDEX_HOST\"\n",
    "\n",
    "curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23\" \\\n",
    "  -H \"Api-Key: $PINECONE_API_KEY\"\n",
    "\n",
    "# Response:\n",
    "# {\n",
    "#   \"vectors\": [\n",
    "#     { \"id\": \"doc1#v1#chunk1\" },\n",
    "#     { \"id\": \"doc1#v1#chunk2\" },\n",
    "#     { \"id\": \"doc1#v1#chunk3\" },\n",
    "#     { \"id\": \"doc1#v1#chunk4\" },\n",
    "#   ...\n",
    "#     { \"id\": \"doc1#v2#chunk1\" },\n",
    "#     { \"id\": \"doc1#v2#chunk2\" },\n",
    "#     { \"id\": \"doc1#v2#chunk3\" },\n",
    "#     { \"id\": \"doc1#v2#chunk4\" },\n",
    "#   ...\n",
    "#   ],\n",
    "#   \"pagination\": {\n",
    "#     \"next\": \"c2Vjb25kY2FsbA==\"\n",
    "#   },\n",
    "#   \"namespace\": \"ns1\",\n",
    "#   \"usage\": {\n",
    "#     \"readUnits\": 1\n",
    "#   }\n",
    "# }\n",
    "```\n",
    "\n",
    "You'd then delete the records by ID.\n",
    "\n",
    "### RAG using pod-based indexes\n",
    "\n",
    "The `list` operation does not support pod-based indexes. Instead of using ID\n",
    "prefixes to reference parent documents, use a metadata key-value pair. If you\n",
    "later need to delete the records, you can pass a metadata filter expression to\n",
    "the delete operation.\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chunk by Tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "import tiktoken\n",
    "\n",
    "tokenizer = tiktoken.get_encoding(\"p50k_base\")\n",
    "\n",
    "def tiktoken_len(text: str) -> int:\n",
    "    tokens = tokenizer.encode(\n",
    "        text, disallowed_special=()\n",
    "    )\n",
    "    return len(tokens)\n",
    "\n",
    "recursive_splitter = RecursiveCharacterTextSplitter(\n",
    "    chunk_size=400,\n",
    "    length_function=tiktoken_len,\n",
    "    separators=[\"\\n\\n\", \"\\n\", \" \", \"\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['# Guides\\n## Data\\n### Manage RAG documents\\n\\nIn Retrieval Augmented Generation (RAG) use cases, it is best practice to chunk\\nlarge documents into smaller segments, embed each chunk separately, and then\\nstore each embedded chunk as a distinct record in Pinecone. This page shows you\\nhow to model, store, and manage such records in serverless indexes.\\n\\n#### Use ID prefixes to reference parent documents\\n\\nWhen you have multiple records representing chunks of a single document, use a\\ncommon ID prefix to reference the document.\\n\\n##### ℹ️ Note\\n\\nYou can use any prefix pattern you like, but make sure you use a consistent\\nprefix pattern for all child records of a document. For example, doc1#chunk1,\\ndoc1_chunk1, doc1_chunk1, doc1___chunk1, doc1:chunk1, and doc1chunk1 are all\\nvalid prefixes for the first chunk of doc1. Prefixes can also be multi-level.\\nFor example, doc1#v1#chunk1 and doc1#v2#chunk1 could represent different\\nversions of the first chunk of doc1.\\n\\n\\n```python\\nfrom pinecone import Pinecone, ServerlessSpec\\n\\npc = Pinecone(api_key=\"YOUR_API_KEY\")',\n",
       " '##### ℹ️ Note\\n\\nYou can use any prefix pattern you like, but make sure you use a consistent\\nprefix pattern for all child records of a document. For example, doc1#chunk1,\\ndoc1_chunk1, doc1_chunk1, doc1___chunk1, doc1:chunk1, and doc1chunk1 are all\\nvalid prefixes for the first chunk of doc1. Prefixes can also be multi-level.\\nFor example, doc1#v1#chunk1 and doc1#v2#chunk1 could represent different\\nversions of the first chunk of doc1.\\n\\n\\n```python\\nfrom pinecone import Pinecone, ServerlessSpec\\n\\npc = Pinecone(api_key=\"YOUR_API_KEY\")\\n\\npc.create_index(\\n  name=\"serverless-index\",\\n  dimension=8,\\n  metric=\"cosine\",\\n  spec=ServerlessSpec(\\n    cloud=\"aws\",\\n    region=\"us-west-2\"\\n  )\\n)\\n\\nindex = pc.Index(\"serverless-index\")',\n",
       " 'pc.create_index(\\n  name=\"serverless-index\",\\n  dimension=8,\\n  metric=\"cosine\",\\n  spec=ServerlessSpec(\\n    cloud=\"aws\",\\n    region=\"us-west-2\"\\n  )\\n)\\n\\nindex = pc.Index(\"serverless-index\")\\n\\nindex.upsert(\\n  vectors=[\\n    {\"id\": \"doc1#chunk1\", \"values\": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},\\n    {\"id\": \"doc1#chunk2\", \"values\": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]},\\n    {\"id\": \"doc1#chunk3\", \"values\": [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]},\\n    {\"id\": \"doc1#chunk4\", \"values\": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]}\\n  ],\\n  namespace=\"ns1\"\\n)\\n```',\n",
       " '#### List all record IDs for a parent document\\n\\nWhen all records related to a document use a common ID prefix, you can use the\\n`list` operation, with the `namespace` and `prefix` parameters, to fetch the\\nIDs of the records.\\n\\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"',\n",
       " '```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n    ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```',\n",
       " '# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n    ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```\\n\\nWhen there are additional IDs to return, the response includes a\\n`pagination_token` that you can use to get the next batch of IDs. For more\\ndetails, see Paginate through list results\\n\\nWith the record IDs, you can then use the fetch operation to fetch the content\\nof the records.\\n\\n#### Delete all records for a parent document\\n\\nTo delete all records representing chunks of a single document, first list the\\nrecord IDs based on their common ID prefix:\\n\\n##### ℹ️ Note\\n\\nThe `list` operation is supported only for serverless indexes and only via the\\nREST API.',\n",
       " 'When there are additional IDs to return, the response includes a\\n`pagination_token` that you can use to get the next batch of IDs. For more\\ndetails, see Paginate through list results\\n\\nWith the record IDs, you can then use the fetch operation to fetch the content\\nof the records.\\n\\n#### Delete all records for a parent document\\n\\nTo delete all records representing chunks of a single document, first list the\\nrecord IDs based on their common ID prefix:\\n\\n##### ℹ️ Note\\n\\nThe `list` operation is supported only for serverless indexes and only via the\\nREST API.\\n\\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"',\n",
       " '```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n    ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```\\n\\nThen delete the records by ID:',\n",
       " '# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n    ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```\\n\\nThen delete the records by ID:\\n\\n```curl\\ncurl -X POST \"https://$INDEX_HOST/vectors/delete\"   -H \"Api-Key: $PINECONE_API_KEY\"   -H \\'Content-Type: application/json\\'   -d \\'{\\n    \"ids\": [\\n      \"doc1#chunk1\", \\n      \"doc1#chunk2\", \\n      \"doc1#chunk3\", \\n      \"doc1#chunk4\"\\n    ],\\n    \"namespace\": \"ns1\"\\n  }\\n\\'\\n```',\n",
       " 'Then delete the records by ID:\\n\\n```curl\\ncurl -X POST \"https://$INDEX_HOST/vectors/delete\"   -H \"Api-Key: $PINECONE_API_KEY\"   -H \\'Content-Type: application/json\\'   -d \\'{\\n    \"ids\": [\\n      \"doc1#chunk1\", \\n      \"doc1#chunk2\", \\n      \"doc1#chunk3\", \\n      \"doc1#chunk4\"\\n    ],\\n    \"namespace\": \"ns1\"\\n  }\\n\\'\\n```\\n\\n#### Work with multi-level ID prefixes\\n\\nThe examples above are based on a simple ID prefix (doc1#), but it\\'s also\\npossible to work with more complex, multi-level prefixes.\\n\\nFor example, let\\'s say you use the prefix pattern document#version#chunk to \\ndifferentiate between different versions of a document. If you wanted to delete\\nall records for one version of a document, you would first list the record IDs\\nbased on the relevant document#version# prefix:',\n",
       " '#### Work with multi-level ID prefixes\\n\\nThe examples above are based on a simple ID prefix (doc1#), but it\\'s also\\npossible to work with more complex, multi-level prefixes.\\n\\nFor example, let\\'s say you use the prefix pattern document#version#chunk to \\ndifferentiate between different versions of a document. If you wanted to delete\\nall records for one version of a document, you would first list the record IDs\\nbased on the relevant document#version# prefix:\\n\\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23v1%23\"   -H \"Api-Key: $PINECONE_API_KEY\"',\n",
       " 'curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23v1%23\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#v1#chunk1\" },\\n#     { \"id\": \"doc1#v1#chunk2\" },\\n#     { \"id\": \"doc1#v1#chunk3\" },\\n#     { \"id\": \"doc1#v1#chunk4\" },\\n    ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```\\n\\nYou\\'d then delete the records by ID\\n\\nHowever, if you wanted to delete all records across all versions of a document,\\nyou would list the record IDs based on the doc1# part of the prefix that is\\ncommon to all versions:',\n",
       " 'You\\'d then delete the records by ID\\n\\nHowever, if you wanted to delete all records across all versions of a document,\\nyou would list the record IDs based on the doc1# part of the prefix that is\\ncommon to all versions:\\n\\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23\"   -H \"Api-Key: $PINECONE_API_KEY\"',\n",
       " '# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#v1#chunk1\" },\\n#     { \"id\": \"doc1#v1#chunk2\" },\\n#     { \"id\": \"doc1#v1#chunk3\" },\\n#     { \"id\": \"doc1#v1#chunk4\" },\\n#   ...\\n#     { \"id\": \"doc1#v2#chunk1\" },\\n#     { \"id\": \"doc1#v2#chunk2\" },\\n#     { \"id\": \"doc1#v2#chunk3\" },\\n#     { \"id\": \"doc1#v2#chunk4\" },\\n#   ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```\\n\\nYou\\'d then delete the records by ID.\\n\\n### RAG using pod-based indexes',\n",
       " \"You'd then delete the records by ID.\\n\\n### RAG using pod-based indexes\\n\\nThe `list` operation does not support pod-based indexes. Instead of using ID\\nprefixes to reference parent documents, use a metadata key-value pair. If you\\nlater need to delete the records, you can pass a metadata filter expression to\\nthe delete operation.\"]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recursive_splits = recursive_splitter.split_text(text)\n",
    "recursive_splits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chunk by Markdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.text_splitter import MarkdownHeaderTextSplitter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "headers_to_split_on = [\n",
    "    (\"#\", \"#\"),\n",
    "    (\"##\", \"##\"),\n",
    "    (\"###\", \"###\"),\n",
    "    (\"####\", \"####\"),\n",
    "    (\"#####\", \"#####\"),\n",
    "    (\"######\", \"######\"),\n",
    "]\n",
    "\n",
    "md_splitter = MarkdownHeaderTextSplitter(\n",
    "    headers_to_split_on=headers_to_split_on,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='In Retrieval Augmented Generation (RAG) use cases, it is best practice to chunk\\nlarge documents into smaller segments, embed each chunk separately, and then\\nstore each embedded chunk as a distinct record in Pinecone. This page shows you\\nhow to model, store, and manage such records in serverless indexes.', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents'}),\n",
       " Document(page_content='When you have multiple records representing chunks of a single document, use a\\ncommon ID prefix to reference the document.', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'Use ID prefixes to reference parent documents'}),\n",
       " Document(page_content='You can use any prefix pattern you like, but make sure you use a consistent\\nprefix pattern for all child records of a document. For example, doc1#chunk1,\\ndoc1_chunk1, doc1_chunk1, doc1___chunk1, doc1:chunk1, and doc1chunk1 are all\\nvalid prefixes for the first chunk of doc1. Prefixes can also be multi-level.\\nFor example, doc1#v1#chunk1 and doc1#v2#chunk1 could represent different\\nversions of the first chunk of doc1.  \\n```python\\nfrom pinecone import Pinecone, ServerlessSpec\\n\\npc = Pinecone(api_key=\"YOUR_API_KEY\")\\n\\npc.create_index(\\nname=\"serverless-index\",\\ndimension=8,\\nmetric=\"cosine\",\\nspec=ServerlessSpec(\\ncloud=\"aws\",\\nregion=\"us-west-2\"\\n)\\n)\\n\\nindex = pc.Index(\"serverless-index\")\\n\\nindex.upsert(\\nvectors=[\\n{\"id\": \"doc1#chunk1\", \"values\": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},\\n{\"id\": \"doc1#chunk2\", \"values\": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]},\\n{\"id\": \"doc1#chunk3\", \"values\": [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]},\\n{\"id\": \"doc1#chunk4\", \"values\": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]}\\n],\\nnamespace=\"ns1\"\\n)\\n```', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'Use ID prefixes to reference parent documents', '#####': 'ℹ️ Note'}),\n",
       " Document(page_content='When all records related to a document use a common ID prefix, you can use the\\n`list` operation, with the `namespace` and `prefix` parameters, to fetch the\\nIDs of the records.  \\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```  \\nWhen there are additional IDs to return, the response includes a\\n`pagination_token` that you can use to get the next batch of IDs. For more\\ndetails, see Paginate through list results  \\nWith the record IDs, you can then use the fetch operation to fetch the content\\nof the records.', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'List all record IDs for a parent document'}),\n",
       " Document(page_content='To delete all records representing chunks of a single document, first list the\\nrecord IDs based on their common ID prefix:', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'Delete all records for a parent document'}),\n",
       " Document(page_content='The `list` operation is supported only for serverless indexes and only via the\\nREST API.  \\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#chunk1\" },\\n#     { \"id\": \"doc1#chunk2\" },\\n#     { \"id\": \"doc1#chunk3\" },\\n#     { \"id\": \"doc1#chunk4\" },\\n...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```  \\nThen delete the records by ID:  \\n```curl\\ncurl -X POST \"https://$INDEX_HOST/vectors/delete\"   -H \"Api-Key: $PINECONE_API_KEY\"   -H \\'Content-Type: application/json\\'   -d \\'{\\n\"ids\": [\\n\"doc1#chunk1\",\\n\"doc1#chunk2\",\\n\"doc1#chunk3\",\\n\"doc1#chunk4\"\\n],\\n\"namespace\": \"ns1\"\\n}\\n\\'\\n```', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'Delete all records for a parent document', '#####': 'ℹ️ Note'}),\n",
       " Document(page_content='The examples above are based on a simple ID prefix (doc1#), but it\\'s also\\npossible to work with more complex, multi-level prefixes.  \\nFor example, let\\'s say you use the prefix pattern document#version#chunk to\\ndifferentiate between different versions of a document. If you wanted to delete\\nall records for one version of a document, you would first list the record IDs\\nbased on the relevant document#version# prefix:  \\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23v1%23\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#v1#chunk1\" },\\n#     { \"id\": \"doc1#v1#chunk2\" },\\n#     { \"id\": \"doc1#v1#chunk3\" },\\n#     { \"id\": \"doc1#v1#chunk4\" },\\n...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```  \\nYou\\'d then delete the records by ID  \\nHowever, if you wanted to delete all records across all versions of a document,\\nyou would list the record IDs based on the doc1# part of the prefix that is\\ncommon to all versions:  \\n```curl\\n# The `GET` request below uses the unique endpoint for an index.\\n# See https://docs.pinecone.io/docs/get-index-endpoint for details.\\nPINECONE_API_KEY=\"YOUR_API_KEY\"\\nINDEX_HOST=\"INDEX_HOST\"\\n\\ncurl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23\"   -H \"Api-Key: $PINECONE_API_KEY\"\\n\\n# Response:\\n# {\\n#   \"vectors\": [\\n#     { \"id\": \"doc1#v1#chunk1\" },\\n#     { \"id\": \"doc1#v1#chunk2\" },\\n#     { \"id\": \"doc1#v1#chunk3\" },\\n#     { \"id\": \"doc1#v1#chunk4\" },\\n#   ...\\n#     { \"id\": \"doc1#v2#chunk1\" },\\n#     { \"id\": \"doc1#v2#chunk2\" },\\n#     { \"id\": \"doc1#v2#chunk3\" },\\n#     { \"id\": \"doc1#v2#chunk4\" },\\n#   ...\\n#   ],\\n#   \"pagination\": {\\n#     \"next\": \"c2Vjb25kY2FsbA==\"\\n#   },\\n#   \"namespace\": \"ns1\",\\n#   \"usage\": {\\n#     \"readUnits\": 1\\n#   }\\n# }\\n```  \\nYou\\'d then delete the records by ID.', metadata={'#': 'Guides', '##': 'Data', '###': 'Manage RAG documents', '####': 'Work with multi-level ID prefixes'}),\n",
       " Document(page_content='The `list` operation does not support pod-based indexes. Instead of using ID\\nprefixes to reference parent documents, use a metadata key-value pair. If you\\nlater need to delete the records, you can pass a metadata filter expression to\\nthe delete operation.', metadata={'#': 'Guides', '##': 'Data', '###': 'RAG using pod-based indexes'})]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "md_parts = md_splitter.split_text(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def md_chunk(doc, add_prefix: bool = False) -> list[str]:\n",
    "    # create prefix for each chunk based on metadata headers\n",
    "    if add_prefix:\n",
    "        prefix = \"\\n\".join([f\"{key} {val}\" for key, val in doc.metadata.items()])\n",
    "        return f\"{prefix}\\n{doc.page_content}\"\n",
    "    else:\n",
    "        return doc.page_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'md_parts' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[32], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m md_splits \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m part \u001b[38;5;129;01min\u001b[39;00m \u001b[43mmd_parts\u001b[49m:\n\u001b[1;32m      4\u001b[0m     chunk \u001b[38;5;241m=\u001b[39m md_chunk(part, add_prefix\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;28mprint\u001b[39m(chunk)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'md_parts' is not defined"
     ]
    }
   ],
   "source": [
    "md_splits = []\n",
    "\n",
    "for part in md_parts:\n",
    "    chunk = md_chunk(part, add_prefix=True)\n",
    "    print(chunk)\n",
    "    print(\"\\n---\\n\")\n",
    "    md_splits.append(chunk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chunk by Meaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from getpass import getpass\n",
    "from semantic_router.splitters import RollingWindowSplitter\n",
    "from semantic_router.encoders import OpenAIEncoder\n",
    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\") or getpass(\n",
    "    \"Enter your OpenAI API key: \"\n",
    ")\n",
    "\n",
    "encoder = OpenAIEncoder()\n",
    "encoder.score_threshold = 0.79\n",
    "\n",
    "splitter = RollingWindowSplitter(\n",
    "    encoder=encoder,\n",
    "    min_split_tokens=100,\n",
    "    max_split_tokens=400,\n",
    "    window_size=5,  # sentences\n",
    "    plot_splits=True,\n",
    "    dynamic_threshold=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "from semantic_router.splitters import utils\n",
    "\n",
    "sentences = utils.split_to_sentences(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[33m2024-02-23 11:20:49 WARNING semantic_router.utils.logger Single document exceeds the maximum token limit of 400. Splitting to sentences before semantically splitting.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 221 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 297 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 267 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 330 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 158 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 266 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Split finalized with 351 tokens due to threshold 0.79.\u001b[0m\n",
      "\u001b[32m2024-02-23 11:20:50 INFO semantic_router.utils.logger Final split added with 67 tokens due to remaining documents.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "splits = splitter([text])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Split 1, tokens 221, triggered by: 0.74\n",
      "\u001b[31m# Guides ## Data ### Manage RAG documents In Retrieval Augmented Generation (RAG) use cases, it is best practice to chunk large documents into smaller segments, embed each chunk separately, and then store each embedded chunk as a distinct record in Pinecone. This page shows you how to model, store, and manage such records in serverless indexes. #### Use ID prefixes to reference parent documents When you have multiple records representing chunks of a single document, use a common ID prefix to reference the document. ##### ℹ️ Note You can use any prefix pattern you like, but make sure you use a consistent prefix pattern for all child records of a document. For example, doc1#chunk1, doc1_chunk1, doc1_chunk1, doc1___chunk1, doc1:chunk1, and doc1chunk1 are all valid prefixes for the first chunk of doc1. Prefixes can also be multi-level. For example, doc1#v1#chunk1 and doc1#v2#chunk1 could represent different versions of the first chunk of doc1.\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 2, tokens 297, triggered by: 0.74\n",
      "\u001b[32m```python from pinecone import Pinecone, ServerlessSpec pc = Pinecone(api_key=\"YOUR_API_KEY\") pc.create_index( name=\"serverless-index\", dimension=8, metric=\"cosine\", spec=ServerlessSpec( cloud=\"aws\", region=\"us-west-2\" ) ) index = pc.Index(\"serverless-index\") index.upsert( vectors=[ {\"id\": \"doc1#chunk1\", \"values\": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]}, {\"id\": \"doc1#chunk2\", \"values\": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]}, {\"id\": \"doc1#chunk3\", \"values\": [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]}, {\"id\": \"doc1#chunk4\", \"values\": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]} ], namespace=\"ns1\" ) ```\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 3, tokens 267, triggered by: 0.76\n",
      "\u001b[34m#### List all record IDs for a parent document When all records related to a document use a common ID prefix, you can use the `list` operation, with the `namespace` and `prefix` parameters, to fetch the IDs of the records. ```curl # The `GET` request below uses the unique endpoint for an index. # See https://docs.pinecone.io/docs/get-index-endpoint for details. PINECONE_API_KEY=\"YOUR_API_KEY\" INDEX_HOST=\"INDEX_HOST\" curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\" # Response: # { #   \"vectors\": [ #     { \"id\": \"doc1#chunk1\" }, #     { \"id\": \"doc1#chunk2\" }, #     { \"id\": \"doc1#chunk3\" }, #     { \"id\": \"doc1#chunk4\" }, ... #   ], #   \"pagination\": { #     \"next\": \"c2Vjb25kY2FsbA==\" #   }, #   \"namespace\": \"ns1\", #   \"usage\": { #     \"readUnits\": 1 #   } # } ```\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 4, tokens 330, triggered by: 0.77\n",
      "\u001b[35mWhen there are additional IDs to return, the response includes a `pagination_token` that you can use to get the next batch of IDs. For more details, see Paginate through list results With the record IDs, you can then use the fetch operation to fetch the content of the records. #### Delete all records for a parent document To delete all records representing chunks of a single document, first list the record IDs based on their common ID prefix: ##### ℹ️ Note The `list` operation is supported only for serverless indexes and only via the REST API. ```curl # The `GET` request below uses the unique endpoint for an index. # See https://docs.pinecone.io/docs/get-index-endpoint for details. PINECONE_API_KEY=\"YOUR_API_KEY\" INDEX_HOST=\"INDEX_HOST\" curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1#\"   -H \"Api-Key: $PINECONE_API_KEY\" # Response: # { #   \"vectors\": [ #     { \"id\": \"doc1#chunk1\" }, #     { \"id\": \"doc1#chunk2\" }, #     { \"id\": \"doc1#chunk3\" }, #     { \"id\": \"doc1#chunk4\" }, ... #   ], #   \"pagination\": { #     \"next\": \"c2Vjb25kY2FsbA==\" #   }, #   \"namespace\": \"ns1\", #   \"usage\": { #     \"readUnits\": 1 #   } # } ```\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 5, tokens 158, triggered by: 0.79\n",
      "\u001b[31mThen delete the records by ID: ```curl curl -X POST \"https://$INDEX_HOST/vectors/delete\"   -H \"Api-Key: $PINECONE_API_KEY\"   -H 'Content-Type: application/json'   -d '{ \"ids\": [ \"doc1#chunk1\", \"doc1#chunk2\", \"doc1#chunk3\", \"doc1#chunk4\" ], \"namespace\": \"ns1\" } ' ``` #### Work with multi-level ID prefixes The examples above are based on a simple ID prefix (doc1#), but it's also possible to work with more complex, multi-level prefixes. For example, let's say you use the prefix pattern document#version#chunk to differentiate between different versions of a document.\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 6, tokens 266, triggered by: 0.78\n",
      "\u001b[32mIf you wanted to delete all records for one version of a document, you would first list the record IDs based on the relevant document#version# prefix: ```curl # The `GET` request below uses the unique endpoint for an index. # See https://docs.pinecone.io/docs/get-index-endpoint for details. PINECONE_API_KEY=\"YOUR_API_KEY\" INDEX_HOST=\"INDEX_HOST\" curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23v1%23\"   -H \"Api-Key: $PINECONE_API_KEY\" # Response: # { #   \"vectors\": [ #     { \"id\": \"doc1#v1#chunk1\" }, #     { \"id\": \"doc1#v1#chunk2\" }, #     { \"id\": \"doc1#v1#chunk3\" }, #     { \"id\": \"doc1#v1#chunk4\" }, ... #   ], #   \"pagination\": { #     \"next\": \"c2Vjb25kY2FsbA==\" #   }, #   \"namespace\": \"ns1\", #   \"usage\": { #     \"readUnits\": 1 #   } # } ```\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 7, tokens 351, triggered by: 0.77\n",
      "\u001b[34mYou'd then delete the records by ID However, if you wanted to delete all records across all versions of a document, you would list the record IDs based on the doc1# part of the prefix that is common to all versions: ```curl # The `GET` request below uses the unique endpoint for an index. # See https://docs.pinecone.io/docs/get-index-endpoint for details. PINECONE_API_KEY=\"YOUR_API_KEY\" INDEX_HOST=\"INDEX_HOST\" curl -X GET \"https://$INDEX_HOST/vectors/list?namespace=ns1&prefix=doc1%23\"   -H \"Api-Key: $PINECONE_API_KEY\" # Response: # { #   \"vectors\": [ #     { \"id\": \"doc1#v1#chunk1\" }, #     { \"id\": \"doc1#v1#chunk2\" }, #     { \"id\": \"doc1#v1#chunk3\" }, #     { \"id\": \"doc1#v1#chunk4\" }, #   ... #     { \"id\": \"doc1#v2#chunk1\" }, #     { \"id\": \"doc1#v2#chunk2\" }, #     { \"id\": \"doc1#v2#chunk3\" }, #     { \"id\": \"doc1#v2#chunk4\" }, #   ... #   ], #   \"pagination\": { #     \"next\": \"c2Vjb25kY2FsbA==\" #   }, #   \"namespace\": \"ns1\", #   \"usage\": { #     \"readUnits\": 1 #   } # } ```\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Split 8, tokens 67, triggered by: final split\n",
      "\u001b[35mYou'd then delete the records by ID. ### RAG using pod-based indexes The `list` operation does not support pod-based indexes. Instead of using ID prefixes to reference parent documents, use a metadata key-value pair. If you later need to delete the records, you can pass a metadata filter expression to the delete operation.\u001b[0m\n",
      "----------------------------------------------------------------------------------------\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "splitter.print(splits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "splits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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